Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
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| Issue Date | Title | Author(s) |
|---|---|---|
| 2017 | A novel Bayesian regression model for counts with an application to health data | Yu, K; Haselimashhadia, H; Vinciotti, V |
| 2018 | Making use of external corrosion defect assessment (ECDA) data to predict DCVG %IR drop and coating defect area 10.1002/maco.201810085 | Yu, K |
| 3-Sep-2018 | Composite quantile regression for massive datasets | Jiang, R; Hu, X; Yu, K; Qian, W |